Juan Carlos is a data scientist working at the Bavarian School for Public Policy of the Technical University of Munich. He was born in Mexico and studied Physics Engineering at the Tecnológico de Monterrey. He later moved to
Germany, where he obtained two Masters degrees: Computational Science and Engineering and Data Engineering and Analytics. Juan Carlos has worked as a data scientist in companies like BMW, Bosch and Siemens. Currently, he is pursuing a
PhD and his research involves the spread of misinformation in social media and its effects on the political landscape. He has participated in several radio interviews and in TV programmes, such as the Stream from Al Jazeera and Sat.1
Orestis Papakyriakopoulos is researcher at the Bavarian School for Public Policy at the Technical University of Munich. He studied civil engineering (Dipl. Ing) at the National Technical University of Athens and philosophy of
science and technology (M.A.) at the Technical University of Munich. In the past, he has served as an engineer, as well as in the communication and administration of science. Furthermore, he conducted research in civil engineering,
risk analysis, and econometrics in Germany and the USA. Currently, Orestis is research associate in Political Data Science, analyzing questions of applied and philosophical nature on politics, digitalization and artificial
intelligence. Besides publishing scientific articles on the aforementioned fields, he has given various interviews. Orestis teaches theoretical and applied courses for bachelor and master students related to the field of political data
Morteza did his bachelor studies in economics and statistics at Beheshti University, Tehran, Iran. Afterwards he moved to Siegen, Germany, to do a masters in economics. Due to his interest in scientific programming, he learned to
develop mathematical and statistical models in different programming platforms. This later helped him to start working at DDDUCTR as a machine learning developer. During this period, he contributed to a software which later got
patented in USA. In March 2016 he moved to Munich to start his PhD as a computer scientist at Bavarian School
of Public Policy, at Technical University of Munich. Morteza is currently doing research on network analysis and its applications in social sciences. He teaches statistics in bachelors and masters levels to political science and
He is also the creator of the data visualization website bedatify.
This project would have never come to life without the ideas, effort, and support of Simon Hegelich, Professor for Political Data Science at the Technical University of Munich. You can find out more about his activities
In the following, you can find the latest publications of the Political Data Science team. If you want to contact us, please email to
email@example.com. If you want to find out about further activities of the team,
then click here.
Social media and microtargeting: Political data processing and consequences for Germany
This study investigates the actual possibilities and legal limits of performing data-driven microtargeting in Germany. It takes into consideration GDPR, the role of social media companies and the epistemological and ethical issues in
evaluating the political opinion of potential voters.
Social media report: the 2017 German federal elections
This report presents thorough research on social media platforms during the months before the 2017 German federal election. The focus is on Facebook and Twitter given their increasing role in online political communication. Over 350
million tweets and 37 thousand Facebook posts related to German politics were collected and analyzed. This work takes an overlook at the online interaction between users and political parties. Moreover, it tries to identify
disinformation and manipulation techniques.
Social Media und Microtargeting in Deutschland
We investigate the possibilities and limits of microtargeting based on social-media data. We evaluate politically and ethically the consequences of the specific campaigning technique for the political system.
Effects of social bots in the Iran debate on Twitter
We investigate the attempts to manipulate the opinion-making process related to the Iranian protest by social bots. We show how such manipulations can affect the discourse as a whole.